Telecommunications Science ›› 2022, Vol. 38 ›› Issue (4): 59-69.doi: 10.11959/j.issn.1000-0801.2022075

• Topic: Satellite Network • Previous Articles     Next Articles

Study on remote sensing satellites random access to internet constellation and on-orbit intelligent processing

Xiaoyu CHANG1,2, Weijia ZHANG1, Xudong1 LI1, Xiaonan ZHANG1,2, Gang WANG1,2, Gang JIA1   

  1. 1 The 54th Research Institution of CETC, Shijiazhuang 050081, China
    2 CETC Key Laboratory of Aerospace Information Applications, Shijiazhuang 050081 , China
  • Revised:2022-04-10 Online:2022-04-20 Published:2022-04-01
  • Supported by:
    The National Natural Science Foundation of China(U20B2064)

Abstract:

The low earth orbit (LEO) satellite Internet constellation is a hot spot in current global research.And it is highly anticipated that the LEO satellite Internet constellation supports random access to remote sensing satellites and direct on-orbit information processing.However, due to the different orbital heights, the difficult access problems of the bidirectional highly dynamic heterogeneous constellation will be caused.Firstly, the random access scenario under different orbit characteristics and satellite numbers of LEO satellite Internet constellation was set up, and the impact of the spatiotemporal discontinuous visibility and Doppler frequency shift on the remote sensing satellite access performance was focused on.Secondly, based on the characteristics of the random access scenario, the process of on-orbit processing tasks with different delays and the allocation of satellite-ground functions were analyzed.Finally, the problems existing in the current on-orbit intelligent processing algorithm and the focus of future research were expounded, so as to provide reliable theoretical support for the development and applications of LEO satellite Internet constellation and remote sensing satellites in the future.

Key words: LEO satellite internet constellation, remote sensing satellite, random access, coverage discontinuity, on-orbit intelligent processing

CLC Number: 

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